Digital technologies for climate-related health education, behavior and risk reduction: a systematic scoping review.

Nathan B Morris, Megan Barnes, Autumn Rybarczyk, Georgia K Chaseling

Abstract read

In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nathan B MorrisWilliam J. Hybl Sports Medicine and Performance Center, Department of Human Physiology and Nutrition, University of Colorado, Colorado Springs, CO, USA.

Megan BarnesWilliam J. Hybl Sports Medicine and Performance Center, Department of Human Physiology and Nutrition, University of Colorado, Colorado Springs, CO, USA.

Autumn RybarczykWilliam J. Hybl Sports Medicine and Performance Center, Department of Human Physiology and Nutrition, University of Colorado, Colorado Springs, CO, USA.

Georgia K ChaselingSydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia. georgia.chaseling@sydney.edu.au.

Funding

National Health and Medical Research Council GNT2033061

6 · The paper itself

Abstract

Digital technologies improve health outcomes, access to education and health care. However, their application in the context of climate change is limited. This scoping review aimed to identify the use of digital technologies for climate-related health education, behavior change and health risk reduction in a rapidly changing climate. After screening 20,342 titles, 24 studies published between 2012 and 2025, with 18,749 participants (~54% female), were included in the analysis. Digital technology was used to improve health education (n = 11 studies) health outcomes (n = 9 studies) or health behavior (n = 6 studies). Common climate change topics focused on general climate change (n = 6), heatwaves (n = 4), and earthquakes (n = 3). Commonly used technologies were virtual reality (n = 9), smartphone applications (n = 7) and online platforms (n = 4). While this field is still nascent, there is a clear opportunity to utilize digital technology to reduce the negative health impacts of climate change, with an emphasis on interdisciplinary research and co-designed technologies.

Identifiers

PMID40753357

DOI10.1038/s41746-025-01907-5

PMCPMC12318067

What OpenQuestion holds

Textmetadata

LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.